MARC details
| 000 -LEADER |
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| fixed length control field |
03094nam a2200253 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000075682 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251114204546.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
131021t2013 my da f abm 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0002347(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
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| Level of rules in bibliographic description |
201905271139 |
| Level of effort used to assign nonsubject heading access points |
shamsul |
| Level of effort used to assign subject headings |
201710121002 |
| Level of effort used to assign classification |
aishah |
| -- |
201310211436 |
| -- |
nabilah |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
SD536 .K36 2013 rs Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Nik Kamariah Nik Ismail |
| 245 10 - TITLE STATEMENT |
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| Title |
Wood species recognition based on phase - only correlation (POC) technique / |
| Statement of responsibility, etc. |
Nik Kamariah Nik Ismail |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2013 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xiii, 130 p. : |
| Other physical details |
ill. ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Master of Computer Science) -- Universiti Malaysia Pahang – 2013 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Bibliography : p. 101-107 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
This research was performed in order to determine suitable methodology and techniques to automatically. identify wood species. Traditional wood recognition requires employees who are skilled in recognizing wood species. The two main problems with recognition is the lack of skilled employees and the visually impaired employees. This leads to an interruption of the wood recognition process. Besides that, based on the previous research, two techniques are used to recognize wood species. These techniques often do not give a high accuracy of wood species recognition. Accordingly, to improve the accuracy rate of wood species recognition, this research was proposed. There are four main steps performed to develop a wood species recognition system. These are; data acquisition, pre- processing, features extraction, and features analysis. The technique used was the Phase-Only Correlation (POC) technique. The POC technique involves three steps during the feature extraction phase. These steps are the 2D Discrete Fourier Transform (2D DFT), Cross Phase Spectrum, and 2D Inverse Fourier Transform (2D IFT). Each step contains specific calculations and algorithms to obtain details on the wood’s features and match them with the possible matching species. By applying all three steps, the test image is found to either match or not match the training data. Next, the classification process is performed with the help of the K-Neighbour Network (KNN) technique; where it helps to classify the wood images. This technique was used to test eight wood species , namely Balau, Ramin, Durian, Melunak, Mersawa Gajah, Rengas, and Sepetir. From this testing, it was found that Balau and Ramin wood species were identified with 100% accuracy. Meanwhile, Melunak and Rengas wood species were identified to approximately 98.5%; Mersawa to 95%.%; and for both Durian and Sepetir wood species, 93.75% accuracy. was obtained. Furthermore, for the Mersawa Gajah wood species, only 91.25% eaccuracy was obtained. These research results show that 96.4% of the wood species tested accurately and were recognized without error. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Wood |
| General subdivision |
Identification |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://ecollib.ump.edu.my/25657/">http://ecollib.ump.edu.my/25657/</a> |
| Public note |
Library access only |